Archived dispatch

We are worried that a public benchmark is already in model training data. What practical checks can a small lab do without access to the training corpus?

Lowconfidence— Only source excerpts are delivered; complete synthesis and per-assertion support remain unverified. Evidence assessment: no citation passed the evidence gate

· llm:deepseek:deepseek-v4-pro

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§ IIThe reading0 cited
Lowconfidence— Only source excerpts are delivered; complete synthesis and per-assertion support remain unverified. Evidence assessment: no citation passed the evidence gatedeep researchpreview plan 1/2 claimsSelected sources: 1/1 proposals

Recorded evidence

Targets with inspectable excerpts: 0/2.

Excerpt presence and estimated support do not establish a complete or factually correct answer.

Targets with missing excerpts or a low recorded support estimate: 2.

Inspect targets and prepare a follow-up
  1. What practical checks can a small lab perform to detect whether a public benchmark is already in model training data, given no access to the training corpus?

    No qualifying excerpt recorded · 0% estimated

    Prepare follow-up: What practical checks can a small lab perform to detect whether a public benchmark is already in model training data, given no access to the training corpus?
  2. What are the limitations of these checks in terms of reliability and false positives/negatives?

    No qualifying excerpt recorded · 0% estimated

    Prepare follow-up: What are the limitations of these checks in terms of reliability and false positives/negatives?

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No supported answer. The read content supplied no qualifying excerpts for the research targets; the draft is withheld as a conclusion.

Research target 1

Requested topic (unverified): “What practical checks can a small lab perform to detect whether a public benchmark is already in model training data, given no access to the training corpus?”

Evidence gap: no qualifying excerpt for this research target.

Research target 2

Requested topic (unverified): “What are the limitations of these checks in terms of reliability and false positives/negatives?”

Evidence gap: no qualifying excerpt for this research target.

Excerpts establish source grounding, not factual truth, entailment or whole-paper coverage. Support and coverage are estimates, not certification of a complete answer. Source statements may be wrong or conflicting. Draft conclusions are withheld; inspect the original text and obtain further review. Payment states remain in the separate receipt.

Evidence ledger — recorded source excerpts

Research targets are unverified topics. Coverage is an estimate of excerpt support, not proof of entailment, factual truth or a complete answer.

  1. Requested topic (unverified): “What practical checks can a small lab perform to detect whether a public benchmark is already in model training data, given no access to the training corpus?”

    0% estimated

    No qualifying excerpt recorded

  2. Requested topic (unverified): “What are the limitations of these checks in terms of reliability and false positives/negatives?”

    0% estimated

    No qualifying excerpt recorded

No inspectable non-demo excerpts are recorded for source inspection.

Research evidence matrix

Compare unverified research targets with cited sources and inspect recorded excerpts. An empty cell means no inspectable excerpt was recorded; it does not establish whether a claim is true, false, or disputed. Coverage and agent confidence do not prove entailment, measured accuracy or complete synthesis.

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  1. Research target (unverified)

    What practical checks can a small lab perform to detect whether a public benchmark is already in model training data, given no access to the training corpus?

    Inspection status: No inspectable excerpt recorded

  2. Research target (unverified)

    What are the limitations of these checks in terms of reliability and false positives/negatives?

    Inspection status: No inspectable excerpt recorded

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  1. Decompose

    Breaking down: "We are worried that a public benchmark is already in model training data. What practical checks can a small lab do without access to the training corpus?"

  2. Decompose

    Identified 2 research target(s) to investigate; these are not established facts

  3. Decompose

    Deep mode: up to 4 paid/cached/public reads plus one bounded gap-expansion pass when needed.

  4. Discover

    Article library searched across retained history: 28 matching article(s). Different articles from one publisher may support different research targets; preview matches alone are not evidence.

  5. Discover

    Web search: 3/3 planned queries attempted, 0 succeeded, 0 public page previews/leads, 3 unavailable queries. Previews and supplied URLs are discovery only. Public reads spend no USDC; model and service operating costs remain separate.

  6. Discover

    Discovered 3 verified creator candidate(s) from 2 publisher(s) and 130 free public reference candidate(s)

  7. Pre-check

    Claim-aware portfolio (exhaustive; bounded selection, not a claim of global optimality) selected 1/1 positive proposal(s): 1 free/cache selections + 0 paid fresh selections, predicting 1/2 claim(s) above the evidence floor with $0.000000/$0.025000 fetch USDC reserved.

  8. Pre-check

    Free-preview pre-check covers 1/2 sub-claims (50%). The agent may buy only claim-targeted sources and will label the answer provisional if paid evidence stays thin.

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    Article about blockchain counterparties, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  113. DecideSKIP
    Stripe Blog - Sync real-time Stripe data to Postgres with Stripe Data Pipeline$0 · EV 0%

    Article about Stripe Data Pipeline, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  114. DecideSKIP
    Stripe Blog - New ways for fintechs to move money and expand globally$0 · EV 0%

    Article about fintech money movement, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  115. DecideSKIP
    Supabase - How we made the Supabase Select 2026 badge$0 · EV 0%

    Article about a conference badge, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  116. DecideSKIP
    Supabase - Sync real-time Stripe data to Supabase with Stripe Data Pipeline$0 · EV 0%

    Article about Stripe data sync, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  117. DecideSKIP
    Supabase - Supabase Storage: major performance, security, and reliability updates$0 · EV 0%

    Article about Supabase Storage updates, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  118. DecideSKIP
    Super Simple Songs - Kids Songs - When We Play Hockey 🏒 | Super Simple Songs & ‪@NHL Hockey Song for Kids$0 · EV 0%

    Children's hockey song video, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  119. DecideSKIP
    Super Simple Songs - Kids Songs - 🔴 Trick or Treat With Super Simple Live! 🎃 | Best Halloween Kids Songs | Super Simple Songs$0 · EV 0%

    Halloween children's song video, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  120. DecideSKIP
    Tailscale - Tailcat: Tailscale without Tailscale, by Tailscale$0 · EV 0%

    Article about Tailcat networking tool, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  121. DecideSKIP
    Tailscale - It's time to make your own RSS reader$0 · EV 0%

    Article about self-hosted RSS readers, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  122. DecideSKIP
    V8 - How we made JSON.stringify more than twice as fast$0 · EV 0%

    Article about JSON.stringify performance, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  123. DecideSKIP
    V8 - WebAssembly JSPI is going to origin trial$0 · EV 0%

    Article about WebAssembly JSPI, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  124. DecideSKIP
    Vicki Boykis - We should be more tired than the model$0 · EV 0%

    Article about cognitive effects of AI coding, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  125. DecideSKIP
    Vicki Boykis - Running local models is good now$0 · EV 0%

    Article about running local models, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  126. DecideSKIP
    vLLM - Finish RL Training Faster: Bitwise-Consistent, High-Performance, Agent-Driven$0 · EV 0%

    Article about RL training performance, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  127. DecideSKIP
    vLLM - Serving Reflection Beam on vLLM from Day 0$0 · EV 0%

    Article about serving Reflection Beam, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  128. DecideSKIP
    W3C Blog - We’re on a roll - EPUB 3.4 is coming$0 · EV 0%

    Article about EPUB 3.4, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  129. DecideSKIP
    W3C Blog - Introducing group activity pages$0 · EV 0%

    Article about W3C group activity pages, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  130. DecideSKIP
    web.dev - Find features to support for Interop 2027 with your coding agent$0 · EV 0%

    Article about Interop 2027 proposals, unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  131. DecideSKIP
    web.dev - New to the web platform in September$0 · EV 0%

    Preview is about new web platform features in September 2026, unrelated to detecting benchmark contamination in model training data. - free public feed reference; no purchase or creator reward.

  132. DecideSKIP
    WebKit - Release Notes for Safari Technology Preview 252$0 · EV 0%

    Safari Technology Preview release notes focus on browser accessibility fixes, not on benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  133. DecideSKIP
    WebKit - Release Notes for Safari Technology Preview 254$0 · EV 0%

    Safari Technology Preview release notes focus on browser accessibility fixes, not on benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  134. DecideSKIP
    Wikimedia Diff - Beyond Wikipedia: Training Editors with Wikimedia Nigeria, Rivers Network$0 · EV 0%

    Wikimedia Diff article about training editors in Nigeria is unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  135. DecideSKIP
    Wikimedia Diff - Bridges Built: EduWiki Hub and ESEAP Hub Strengthen Access to Wikimedia Education$0 · EV 0%

    Wikimedia Diff article about education hubs is unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  136. DecideSKIP
    Wikimedia Diff - Building Bridges between Bangladesh-China through Wikimedia$0 · EV 0%

    Wikimedia Diff article about Bangladesh-China collaboration is unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  137. DecideSKIP
    x402 - x402: An open standard for internet-native payments$0 · EV 0%

    x402 payment standard article is unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  138. DecideSKIP
    x402 - Linux Foundation Announces Operational Launch of x402 Foundation to Standardize Internet-Native Payments for AI Agents and Applications$0 · EV 0%

    x402 Foundation launch announcement is unrelated to benchmark contamination detection. - free public feed reference; no purchase or creator reward.

  139. DecideSKIP
    Keryx owner release notes — first-party validation — Keryx v0.27.78$0.005 · EV 0%

    Keryx release notes are about software fixes, unrelated to benchmark contamination detection.

  140. DecideSKIP
    Keryx owner release notes — first-party validation — Keryx v0.27.76$0.005 · EV 0%

    Keryx release notes are about software fixes, unrelated to benchmark contamination detection.

  141. DecideSKIP
    Keryx Engineering (first-party) — How Keryx pays cited creators$0.002 · EV 0%

    Keryx engineering documentation about citation rewards is unrelated to benchmark contamination detection.

  142. Fetch

    Read MIT News: Artificial Intelligence - When AI art has no author: Study finds generated images often can’t be traced to training data - free public feed reference, no creator payment - S1

  143. Sufficiency

    Sub-claim "What practical checks can a small lab perform to detect whet…": 0% covered

  144. Sufficiency

    Sub-claim "What are the limitations of these checks in terms of reliabi…": 0% covered

  145. Sufficiency

    The gathered source S1 discusses attribution decay in generative models, showing that individual training examples often cannot be traced to outputs. It does not provide practical checks for detecting whether a benchmark is in training data, nor does it discuss limitations of such checks. Therefore, both sub-claims are unsupported. The assessment does not establish a complete supported answer for every requested part.

  146. Re-evaluate

    Sub-claim "What practical checks can a small lab perform to detect whet…": 0% covered — The gathered source (S1) discusses attribution decay in generative image models and the difficulty of tracing outputs to training data, but it does not describe any practical checks a small lab could perform to detect whether a public benchmark was included in training data. No procedures, tests, or methods are provided.

  147. Re-evaluate

    Sub-claim "What are the limitations of these checks in terms of reliabi…": 0% covered — No checks are described in the gathered content, so there is no discussion of their limitations, reliability, or false positive/negative rates. The source only mentions that attribution may be impossible at scale, which is not a limitation of a specific detection check.

  148. Re-evaluate

    Both sub-claims are completely uncovered (coverage 0.0). The remaining budget is $0.025, and all skipped sources are priced at $0.00 or $0.005, so affordable sources can be purchased. The most promising candidates are 'Schneier on Security - Backdooring Open-Weight AI Models' (public:schneier), which may discuss model manipulation and detection, and 'Chip Huyen - Common pitfalls when building generative AI applications' (public:chip-huyen:article:006d0f5af8f9abfeaf302a2e167701ccc4d8de10c59581c8a1caa1c1975cc0ed), which may cover benchmark leakage or evaluation pitfalls. These are prioritized based on topical relevance to AI model training and evaluation.

  149. Re-evaluate

    Filling gap - free public feed reference Schneier on Security, no creator payment - S2

  150. Re-evaluate

    Filling gap - free public feed reference Chip Huyen, no creator payment - S3

  151. Sufficiency

    Final check — "What practical checks can a small lab perform to detect whet…": 0% assessed

  152. Sufficiency

    Final check — "What are the limitations of these checks in terms of reliabi…": 0% assessed

  153. Sufficiency

    Final coverage assessment — S1 discusses attribution decay in generative models, showing that individual training examples become less attributable as dataset size grows, but it does not provide practical checks for detecting benchmark contamination. S2 covers backdooring open-weight models, unrelated to benchmark contamination. S3 is a general list of AI engineering pitfalls, mentioning training data lineage as a compliance issue but offering no detection methods. None of the sources provide practical checks or limitations for detecting whether a public benchmark is in training data without corpus access. The assessment does not establish a complete supported answer for every requested part.

  154. Synthesize

    Synthesizing a grounded answer from 3 source(s)…

  155. Evidence

    Relevance review returned; only checked excerpts can retain support, and review cannot raise it.

  156. Evidence

    Delivering qualified source excerpts; complete synthesis and per-assertion support remain unverified.

  157. Evidence

    Below support/reward gate — S1, research target 1, proposed support 20% (estimate, not entailment): “The scientists identified a phenomenon they call attribution decay, where the more data a generative model is trained on, the less any indiv…”

  158. Evidence

    Below support/reward gate — S1, research target 2, proposed support 20% (estimate, not entailment): “The scientists identified a phenomenon they call attribution decay, where the more data a generative model is trained on, the less any indiv…”

  159. Evidence

    Rejected 0 invalid evidence span(s) and 1 unsupported citation marker(s); rejected markers cannot receive citation rewards.

  160. Evidence

    No citation passed the evidence gate — the $0.025000 citation pool stays unspent; settled access tolls still stand.

  161. Synthesize

    Prepared source excerpts citing 0 source(s); complete synthesis is unverified

  162. Verdict

    Confidence: Low — Only source excerpts are delivered; complete synthesis and per-assertion support remain unverified. Evidence assessment: no citation passed the evidence gate.

  163. Done

    Done. Spent $0 across 0 confirmed/simulated payment(s) to creators.

Following latest steps

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Read checkpoints

Verify locally replays supported recorded query-local reserve, release, debit and hold decisions, attribution normalization and exact micro-USDC citation/author allocations. Model proposals and eligibility are asserted inputs. Query capacity is separate from signer exposure; verification does not establish funding, reward authority or settlement.

Economic families or records marked unavailable are not verified. Missing, fractional-micro or unsafe operands are never repaired; an empty family means no captured economic decision, not complete monetary coverage.

Query-local budget records
Recorded decisions can be replayed
Citation allocation records
Not captured
Author split records
Not captured

Model proposals and selected plan actions are recorded when available. Model generation is not replayed or expected to reproduce; verification checks only deterministic checkpoints.

Micro-USDC is shown only where the existing exact converter accepts the amount. Other monetary assertions are unavailable; numeric predicate replay preserves the recorded comparison.

Recorded checkpoint policy
ordinary-query-economics-v4
SHA-256 retained by this report
3f391d7d16724f663f31540c9e0cddff2fb9eb8ad15922b9b6e209fc856ab0e6

Keep this digest separately from the downloaded sidecar. The offline audit command uses it as the expected digest.

Model proposal → selected plan → code checkpoint

BUY0
SKIP130
CACHE0
FREE3
ESCALATE0
UNKNOWN0

Latest terminal checkpoint outcome per recorded candidate; continuing checks and global stops are excluded. These are not settled purchases or quality scores.

Global stop checkpoints: 0 · Candidate rounds with continuing checks only: 0

CandidateRead roundModel proposedSelected planCheckpointCode resultReason / rule
650CACHECACHEselectionCONTINUEselected-plan
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650CACHECACHEduplicateCONTINUEduplicate
650CACHECACHEpublic-routeCONTINUEpublic-channel
650CACHECACHEpublic-routeFREEpublic-channel
650CACHECACHEduplicateCONTINUEduplicate
650CACHECACHEsufficiencyCONTINUEsufficiency
Run context0——expansionCONTINUEexpansion
Run context1——attentionCONTINUEattention
Run context1——recommendationCONTINUEengine-recommendation
Run context1——recommendationCONTINUEengine-recommendation
981BUYSKIPduplicateCONTINUEduplicate
981BUYSKIPdiscussionCONTINUEdiscussion
981BUYSKIPattentionCONTINUEattention
981BUYSKIPpublic-routeCONTINUEpublic-channel
981BUYSKIPpublic-routeFREEpublic-channel
981BUYSKIPduplicateCONTINUEduplicate
151BUYSKIPduplicateCONTINUEduplicate
151BUYSKIPdiscussionCONTINUEdiscussion
151BUYSKIPattentionCONTINUEattention
151BUYSKIPpublic-routeCONTINUEpublic-channel
151BUYSKIPpublic-routeFREEpublic-channel
151BUYSKIPduplicateCONTINUEduplicate

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